RAG با دیتابیس های وکتور : استراتژی‌های پیشرفته برای بهینه‌سازی هوش مصنوعی

عنوان دوره : Linkedin – RAG with vector databases: Advanced strategies for AI optimization

سطح : پیشرفته

زمان کل دوره : 1 ساعت و 18 دقیقه

تعداد فايل ها : 18

سال آموزش : 2026

فایل تمرینی : ندارد

مربی دوره : Yujian Tang

نرم افزار : Python, Vector Database, LLM APIs

زیرنویس انگلیسی : دارد

Linkedin – RAG with vector databases: Advanced strategies for AI optimization

This advanced course explores state-of-the-art retrieval-augmented generation (RAG) methods powered by vector databases. Students will learn how to optimize text-based RAG through chunking strategies, embedding techniques, and effective metadata usage, as well as how to conduct basic image search with a vector database. The course also covers multimodal RAG, teaching participants how to embed and store data and query images with text. Through practical, hands-on demonstrations and exercise challenges, learners will gain the skills needed to build sophisticated AI applications that leverage vector databases for enhanced retrieval and generation capabilities. This course is ideal for AI engineers, data scientists, and developers with prior experience in machine learning who want to master advanced RAG implementations.